3 citations · 5 across the 5 of their papers we have counts for
5 papers
Goal-driven Variant Categorization
Daniel Calegari, Daniel Amyot
Process discovery rarely yields a single coherent process structure. For analysis, a common step is to cluster process variants based on structural similarity and then assign busin…
From Law to Gherkin: A Human-Centred Quasi-Experiment on the Quality of LLM-Generated Behavioural Specifications from Food-Safety Regulations
Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot
Context: Laws and regulations increasingly shape software design, development, and quality assurance in regulated domains. Because legal provisions are written in technology-neutra…
An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations
Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot
As Industry 4.0 transforms the food industry, the role of software in achieving compliance with food-safety regulations is becoming increasingly critical. Food-safety regulations,…
Using Process Mining to Improve Digital Service Delivery
Jacques Trottier, William Van Woensel, Xiaoyang Wang +3
We present a case study of Process Mining (PM) for personnel security screening in the Canadian government. We consider customer (process time) and organizational (cost) perspectiv…
Rethinking Legal Compliance Automation: Opportunities with Large Language Models
Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot +1
As software-intensive systems face growing pressure to comply with laws and regulations, providing automated support for compliance analysis has become paramount. Despite advances…